Title :
A temporal fusion algorithm for multi-sensor tracking in wide areas
Author :
Wallart, O. ; Motamed, C. ; Benjelloun, M.
Author_Institution :
Lab. ASL, Univ. de Littoral Cote d´´Opale, Calais, France
Abstract :
Presents a distributed vision system for the tracking of mobile objects over wide areas. A temporal data fusion is used in order to improve the decision-making at the data association stage. The temporal fusion is performed with a possibilistic MHT (multiple hypothesis tracking). We have decided to use the possibility theory because it handles uncertainties efficiently. The originality of this MHT is the control of its development according to the online quality estimation of the data association based on a necessity measurement.
Keywords :
computer vision; distributed sensors; image sensors; possibility theory; sensor fusion; tracking; data association; decision-making; development control; distributed sensors; distributed vision system; mobile objects; multi-sensor tracking; necessity measurement; online quality estimation; possibilistic multiple hypothesis tracking; possibility theory; temporal data fusion algorithm; uncertainty handling; wide areas; Airports; Decision making; Layout; Machine vision; Monitoring; Possibility theory; Road transportation; Sensor fusion; Surveillance; Voltage control;
Conference_Titel :
Information Fusion, 2000. FUSION 2000. Proceedings of the Third International Conference on
Conference_Location :
Paris, France
Print_ISBN :
2-7257-0000-0
DOI :
10.1109/IFIC.2000.859877
